Evidence map›Paper›PMID 31768916›Full record

Observational studyCurrent heart failure reports2019

Patient-Associated Predictors of 15- and 30-Day Readmission After Hospitalization for Acute Heart Failure.

Juan F Delgado, Andreu Ferrero Gregori, Laura Morán Fernández, Ramón Bascompte Claret, Andrés Grau Sepúlveda, Francisco Fernández-Avilés, José R González-Juanatey, Rafael Vázquez García, Miguel Rivera Otero, Javier Segovia Cubero and 5 more

Abstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Current heart failure reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Juan F DelgadoCardiology Department, University Hospital 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Av de Córdoba sn, 28041, Madrid, Spain. juan.delgado@salud.madrid.org.
Andreu Ferrero GregoriCardiology Department, University Hospital Santa Creu i Sant Pau, Barcelona, Spain.
Laura Morán FernándezCardiology Department, University Hospital 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Av de Córdoba sn, 28041, Madrid, Spain.
Ramón Bascompte ClaretCardiology Department, Hospital Universitari Arnau de Vilanova, Lleida, Spain.
Andrés Grau SepúlvedaCardiology Department, University Hospital Son Espases, Palma de Mallorca, Spain.
Francisco Fernández-AvilésCIBERCV; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
José R González-JuanateyCIBERCV; Cardiology Department, University Hospital Santiago de Compostela, Santiago de Compostela, Spain.
Rafael Vázquez GarcíaCardiology Department, University Hospital Puerta del Mar, Cádiz, Spain.
Miguel Rivera OteroCIBERCV; Cardiology Department, University Hospital La Fe, Valencia, Spain.
Javier Segovia CuberoCIBERCV; Cardiology Department, University Hospital Puerta de Hierro-Majadahonda, Madrid, Spain.
Domingo Pascual FigalCIBERCV; Cardiology Department, University Hospital Virgen de la Arrixaca, Murcia, Spain.
Maria G Crespo-LeiroCIBERCV; University Hospital de A Coruña, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidad de A Coruña (UDC), A Coruña, Spain.
Jesús Alvarez-GarcíaCardiology Department, University Hospital Santa Creu i Sant Pau, Barcelona, Spain.
Juan CincaCardiology Department, University Hospital Santa Creu i Sant Pau, Barcelona, Spain.
Fernando Arribas YnsaurriagaCardiology Department, University Hospital 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Av de Córdoba sn, 28041, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying readmission predictors in heart failure (HF) patients may help guide preventative efforts and save costs. We aimed to identify 15- and 30-day readmission predictors due to cardiovascular reasons. METHODS AND

resultsA total of 1831 patients with acute HF admission were prospectively followed during a year. Patient-associated variables were gathered at admission/discharge and events during follow-up. A multivariate Fine and Gray competing risk regression model and a cumulative incidence function were used to identify predictors and build a risk score model for 15- and 30-day readmission. The 15- and 30-day readmission rates due to cardiovascular reasons were 7.1% and 13.9%. Previous acute myocardial infarction, congestive signs at discharge, and length of stay > 9 days were predictors of 15- and 30-day readmission, while much weight loss and large NT-ProBNP reduction were protective factors. The NT-ProBNP reduction was larger at 30 days (> 55%) vs 15 days (> 40%) to protect from readmission. Glomerular filtration rate at discharge < 60 mL/min/1.73m

conclusionsPrevious identified factors for early readmission were confirmed. The NT-ProBNP reduction should be increased (> 55%) to protect from 30-day readmission.

Indexed as

Acute DiseaseAgedAged, 80 and overBiomarkersFemaleHeart FailureHospitalizationHumansLength of StayMaleMiddle AgedNatriuretic Peptide, C-TypePatient ReadmissionPredictive Value of TestsProspective StudiesRisk Assessmentamino-terminal pro-C-type natriuretic peptide, humanBiomarkersNatriuretic Peptide, C-TypeHeart failureNT-ProBNPPredictive factorsReadmission

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.